#0 – Introducing the 80,000 Hours Podcast
80,000 Hours Podcast1 Maj 2017

#0 – Introducing the 80,000 Hours Podcast

80,000 Hours is a non-profit that provides research and other support to help people switch into careers that effectively tackle the world's most pressing problems. This podcast is just one of many things we offer, the others of which you can find at 80000hours.org.

Since 2017 this show has been putting out interviews about the world's most pressing problems and how to solve them — which some people enjoy because they love to learn about important things, and others are using to figure out what they want to do with their careers or with their charitable giving.

If you haven't yet spent a lot of time with 80,000 Hours or our general style of thinking, called effective altruism, it's probably really helpful to first go through the episodes that set the scene, explain our overall perspective on things, and generally offer all the background information you need to get the most out of the episodes we're making now.

That's why we've made a new feed with ten carefully selected episodes from the show's archives, called 'Effective Altruism: An Introduction'.

You can find it by searching for 'Effective Altruism' in your podcasting app or at 80000hours.org/intro.

Or, if you’d rather listen on this feed, here are the ten episodes we recommend you listen to first:

• #21 – Holden Karnofsky on the world's most intellectual foundation and how philanthropy can have maximum impact by taking big risks

• #6 – Toby Ord on why the long-term future of humanity matters more than anything else and what we should do about it

• #17 – Will MacAskill on why our descendants might view us as moral monsters

• #39 – Spencer Greenberg on the scientific approach to updating your beliefs when you get new evidence

• #44 – Paul Christiano on developing real solutions to the 'AI alignment problem'

• #60 – What Professor Tetlock learned from 40 years studying how to predict the future

• #46 – Hilary Greaves on moral cluelessness, population ethics and tackling global issues in academia

• #71 – Benjamin Todd on the key ideas of 80,000 Hours

• #50 – Dave Denkenberger on how we might feed all 8 billion people through a nuclear winter

• 80,000 Hours Team chat #3 – Koehler and Todd on the core idea of effective altruism and how to argue for it

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#225 – Daniel Kokotajlo on what a hyperspeed robot economy might look like

#225 – Daniel Kokotajlo on what a hyperspeed robot economy might look like

When Daniel Kokotajlo talks to security experts at major AI labs, they tell him something chilling: “Of course we’re probably penetrated by the CCP already, and if they really wanted something, they c...

27 Okt 20252h 12min

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

Conventional wisdom is that safeguarding humanity from the worst biological risks — microbes optimised to kill as many as possible — is difficult bordering on impossible, making bioweapons humanity’s ...

2 Okt 20252h 31min

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Jake Sullivan was the US National Security Advisor from 2021-2025. He joined our friends on The Cognitive Revolution podcast in August to discuss AI as a critical national security issue. We thought i...

26 Sep 20251h 5min

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven of whom now work at major AI companies. His secret?...

15 Sep 20251h 46min

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

We don’t know how AIs think or why they do what they do. Or at least, we don’t know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultu...

8 Sep 20253h 1min

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

What happens when you lock two AI systems in a room together and tell them they can discuss anything they want?According to experiments run by Kyle Fish — Anthropic’s first AI welfare researcher — som...

28 Aug 20252h 28min

How not to lose your job to AI (article by Benjamin Todd)

How not to lose your job to AI (article by Benjamin Todd)

About half of people are worried they’ll lose their job to AI. They’re right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more sa...

31 Juli 202551min

Rebuilding after apocalypse: What 13 experts say about bouncing back

Rebuilding after apocalypse: What 13 experts say about bouncing back

What happens when civilisation faces its greatest tests?This compilation brings together insights from researchers, defence experts, philosophers, and policymakers on humanity’s ability to survive and...

15 Juli 20254h 26min

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